To explore the use of large language models (LLMs) to assist in developing new agent-based disease-specific patient journey models.
Author(s): Kramer, Mark A, Mathur, Aanchal, Adams, Caroline E, Walonoski, Jason A
DOI: 10.1093/jamiaopen/ooaf123
The increasing volume of clinical trial documents presents a significant challenge for biomedical researchers who must analyze vast amounts of unstructured and structured data. Traditional methods are no longer feasible given the scale and complexity of modern clinical trials.
Author(s): Cao, Shuang, Li, Rui, Wu, Rui, Liu, Ruihua, Duprey, Alexandre, Zhao, Jason
DOI: 10.1093/jamiaopen/ooaf167
To describe the process of updating the Patient Identification Safety Assurance Factors for EHR Resilience (SAFER) Guide and to review new practices and refinements to the Guide.
Author(s): Weatherford, Emma, Grauer, Anne, Sirochinsky, Carina, Lehman, I-Fong, Thummala, Neha, Callahan, Miriam, Sittig, Dean F, Singh, Hardeep, Salmasian, Hojjat, Jurgens, Madison, Adelman, Jason S
DOI: 10.1093/jamiaopen/ooaf160
Management of patients with vestibular schwannoma (VS) relies on precise tumor size and growth trend evaluation. We introduce and evaluate a novel computer-assisted reporting tool for clinical decision support during multidisciplinary team meetings (MDTMs) for VS patients.
Author(s): Wijethilake, Navodini, Connor, Steve, Oviedova, Anna, Ivory, Marina, Burger, Rebecca, De Leon De Sagun, Jeromel, Hitchings, Amanda, Abougamil, Ahmed, Giannis, Theofanis, Syrris, Christoforos, Chia, Kazumi, Al-Salihi, Omar, Obholzer, Rupert, Jiang, Dan, Maratos, Eleni, Barazi, Sinan, Thomas, Nick, Vercauteren, Tom, Shapey, Jonathan
DOI: 10.1093/jamiaopen/ooaf163
Generative AI chatbots are revolutionizing health education by making complex information more accessible to the public. However, their use presents risks, including bias, hallucinations, ethical concerns, and misinformation, which are particularly critical in health contexts where incorrect guidance can have serious consequences. Ensuring safety, accuracy, and reliability is essential, especially in maternal and infant health.
Author(s): Nguyen, Quynh C, Norell, Elizabeth M, Mane, Heran, Yue, Xiaohe, Srikanth, Neha Pundlik, Peters, Carson J, Gutierrez, Francia Ximena Marin, Kurella, Eesha, Dipankar, Pankaj, Salazar, Diego, Mullaputi, Penchala Sai Priya, Alibilli, Amrutha, Santhosh, Adwaith, He, Xin, Boyd-Graber, Jordan, Nguyen, Thu T
DOI: 10.1093/jamiaopen/ooaf169
To create a theoretical framework of mental health risk factors to inform the development of prediction models for young people's mental health problems.
Author(s): Parkin, Katherine, Crowley, Ryan, Sippy, Rachel, Hayat, Shabina, Zhang, Yi, Brewis, Emily, Marshall, Nicole, Ramsay-Patel, Tara, Thirugnanasampanthan, Vahgisha, Skinner, Guy, Fonagy, Peter, Brayne, Carol, Moore, Anna
DOI: 10.1093/jamiaopen/ooaf166
Electronic health record (EHR) work may differently affect women and men physicians. Identifying gender discrepancies in EHR work across different specialties may inform strategies to reduce EHR burdens.
Author(s): Bessen, Sarah Y, Tackett, Sean, Peairs, Kimberly S, Christopher-Stine, Lisa, Stewart, Charles M, Biddison, Lee D, Oliva-Hemker, Maria, Lee, Jennifer K
DOI: 10.1093/jamiaopen/ooaf164
[This corrects the article DOI: 10.1093/jamiaopen/ooz061.].
Author(s):
DOI: 10.1093/jamiaopen/ooaf124
The primary objective of this research is to assess the content coverage of nursing data within a publicly available common data model (CDM), focusing on how nursing data, documented in flowsheets, are represented within the model.
Author(s): Austin, Robin, Britt Lalich, Malin, Stewart, Katy, Zarbano, Jonna, Byrne, Matthew, Pinto, Melissa D, Umberfield, Elizabeth E
DOI: 10.1093/jamiaopen/ooaf168
The objective of this study was to develop and test natural language processing (NLP) methods for screening and, ultimately, predicting the cancer relevance of peer-reviewed publications.
Author(s): Shae, Whitney, Islam Saif, Md Saiful, Fife, John, Mudaranthakam, Dinesh Pal, Pei, Dong, Harlan-Williams, Lisa, Thompson, Jeffrey A, Koestler, Devin C
DOI: 10.1093/jamiaopen/ooaf156